mova-skill-mova-ai-bootstrap-generate-basic-wrapper
Generates a static MOVA AI bootstrap pack for a target model/environment (no LLM calls). Input: env.mova_ai_bootstrap_generate_v1, output: ds.mova_ai_bootstrap_pack_v1.
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Generates a static MOVA AI bootstrap pack for a target model/environment (no LLM calls). Input: env.mova_ai_bootstrap_generate_v1, output: ds.mova_ai_bootstrap_pack_v1.
Create new Claude skills following Anthropic best practices. Use when building specialized agent capabilities, packaging procedural knowledge, or extending Claude's domain expertise.
Manage Qdrant Cloud collections, including vectorization of textbook chapters and metadata tagging for RAG retrieval. Agent: AIEngineer
AI agent long-term memory management skill (openmemory-py based). Store and retrieve conversation context, user preferences, and important information via semantic search. Note: Automatic context management is handled by the context-manager plugin. This skill is used when the agent **explicitly** manipulates memory. When to use: (1) When user requests memory save/retrieve → /memory add, /memory query (2) When agent determines additional context is needed → /memory query (3) When deleting unnecessary memories → /memory delete
Two-phase reasoning paradigm that reduces hallucinations and constraint violations in complex planning tasks. Use when tasks involve multi-step planning, constraint satisfaction, resource allocatio...
Use when user explicitly requests Telegram bot development, Mini App integration, webhook/polling setup, or debugging Telegram-specific issues. Handles Telegraf-based bots, AI chatbot integration via Telegram, and deployment to Railway/Vercel. DO NOT use unless user mentions Telegram work.
Model routing configuration templates and strategies for cost optimization, speed optimization, quality optimization, and intelligent fallback chains. Use when building AI applications with OpenRouter, implementing model routing strategies, optimizing API costs, setting up fallback chains, implementing quality-based routing, or when user mentions model routing, cost optimization, fallback strategies, model selection, intelligent routing, or dynamic model switching.
Comprehensive toolkit for working with Google's Gemini API using the Google GenAI SDK. Use when Claude needs to: (1) Generate, summarize, or analyze text using Gemini models, (2) Process images, audio, or video with multimodal capabilities, (3) Extract structured data using function calling or structured outputs, (4) Implement streaming text generation, (5) Build chat applications with context, or (6) Integrate Gemini API into any project. Includes example scripts, API reference, best practices, and detailed guides for multimodal processing and function calling.
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
Provides feedback and suggestions for improving AI context files (CLAUDE.md, context.md, commands, agents, references). Use when discussing context engineering, reviewing AI instructions, or optimizing template files for AI coding assistants.
Search and retrieve from memory. Use when user asks about past conversations, "what did we discuss", "find my notes about", "remember when", or needs historical context.
This skill should be used when working with BMAD (BMad-CORE) v6-alpha projects. BMAD is a universal human-AI collaboration platform with specialized modules for software development (BMM), agent building (BMB), creative intelligence (CIS), and project management (BMD). Use this skill to understand agent workflows, command patterns, scale-adaptive methodology, and effective utilization of the four-phase development system.
Orchestrate MacroFlow as a flow network for dynamic AI orchestration.
Expert guidance for building AI agents using Microsoft Agent Framework. Use when creating single agents, multi-agent workflows, chat applications, or integrating tools with LLMs. Covers ChatAgent, tools (@ai_function), orchestration patterns (GroupChat, Sequential, Concurrent, Handoff), memory/state management, observability, and declarative YAML agents. Supports Python and .NET.
Create new frontier projects that solve unsolved problems in ML/AI tooling. Use when you want to add a genuinely novel project to a playbook or monorepo—not "best practices" collections but real tools for problems that don't have good solutions yet. Triggers on "create new project", "add frontier project", "build something novel", "identify gaps".
Complete development workflows where Claude writes the code while Gemini and Codex provide research, planning, reviews, and different perspectives. Claude remains the main developer. Use for complex projects requiring expert planning and multi-perspective reviews.
Orchestrate the conversion of Node.js Restify API services to Rust Dropshot API traits. Use this skill when migrating Node.js services to Rust. This orchestrator spawns separate sub-agents for each phase to manage context.